Causal Relationship Among Travel Mode, Activity, and Travel Patterns

Jang, Tae Youn

doi:10.1061/(asce)0733-947x(2003)129:1(16)

Cited by 23 publications

(7 citation statements)

References 8 publications

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“…Transportation (2008) 35:37-54 39 Mode choice decisions at stops between home and work, or to other primary destinations are not as likely to be a function of the land use patterns at these destinations (Miller et al 2005). The choice to chain together multiple trips is likely to be a function of the distance between home and work, and the availability of services and other important destinations near to home and work (Jang 2003). Little research to date has looked at the impact of workplace land use patterns on travel choices and no research appears to have been conducted that explicitly addresses factors that impact mode choice for mid-day work trips.…”

Section: Tour Based Modelingmentioning

confidence: 99%

Urban form, travel time, and cost relationships with tour complexity and mode choice

Frank¹,

Bradley²,

Kavage³

et al. 2007

Transportation

349

137

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Section: Tour Based Modelingmentioning

confidence: 99%

Urban form, travel time, and cost relationships with tour complexity and mode choice

Frank¹,

Bradley²,

Kavage³

et al. 2007

Transportation

349

137

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show abstract

“…Tourists’ activity selection (e.g. information about activities offered at sites), one of the crucial considerations influencing trip decisions, has been analyzed by some studies (Hanson and Hanson, 1981; Jang, 2003; Reinius and Fredman, 2007). Nevertheless, the relationship between the mix of travel party and the choice of tourist activity has not been adequately addressed.…”

Section: Introductionmentioning

confidence: 99%

Travel companions and activity preferences of nature-based tourists

Chen

Wang

Prebensen

2016

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Purpose This paper aims to reveal the similarities and variances in activity patterns among those traveling alone and with a different mix of travel companions in the context of nature-based tourism. Design/methodology/approach In this research, five different travel parties (alone, with small children, with older children, with friends and with partner) and 25 tourist activities are research variables. The study selects Norway as the destination country in relation to activity patterns. Its data, collected from a questionnaire survey of residents from the United Kingdom, Sweden and France, contain 6,935 responses. Findings The study finds that traveling with a partner is the preferred mix for traveling to Norway. A correspondence analysis on activity patterns reveals that traveling with friends and traveling with a partner show some similarities in activity patterns, where the other three groups prove notable differences in activity patterns compared to these two groups. Originality/value The study empirically tests the relationship between the mix of travel party and the choice of tourist activity in the context of nature-based tourism in Norway. It provides new market insights that can assist tourism businesses to further tailor products and services to traveling public involving different types of companions.

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“…Higher income is generally associated with a higher probability of vehicle ownership (Pucher and Renne, 2003). Trips involving children and their caregivers travelling together tend to involve trip-chains that may be too complex to accommodate by transit, such as dropping off the child(ren) to a daycare facility prior to going to the place of employment (Turner and Grieco, 2000;Jang, 2003;McGuckin et al, 2005;Lee and McNally, 2006). Due to the higher densities in a typical CBD of a major city, public transit service is usually more readily available and accessible in the CBD compared to its suburban counterparts, (Chamey, 2005;Alshalalfah and Shalaby, 2007).…”

Section: 0mentioning

confidence: 99%

Quantifying the impacts of the modifiable areal unit problem in travel demand models

Nix¹

2021

Preprint

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This project introduces new analyses of the impacts of the modifiable areal unit problem (MAUP) in traffic assignment models which are not widely available in the literature, as well as to reveal how stable the effects are in diverse models. A comprehensive review of the literature is conducted to provide an overview of MAUP, including the scale and zonal effects, as well as its recent applications in travel demand modelling and other subject areas. Particular scrutiny is made towards inappropriate methods of MAUP-analysis in travel demand models. The scale effect is tested in traffic assignment models using associated zone structures of the Greater Montreal Area (GMA), a unique geographic region involving island regions and water bodies.

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Causal Relationship Among Travel Mode, Activity, and Travel Patterns

Cited by 23 publications

References 8 publications

Urban form, travel time, and cost relationships with tour complexity and mode choice

Urban form, travel time, and cost relationships with tour complexity and mode choice

Travel companions and activity preferences of nature-based tourists

Quantifying the impacts of the modifiable areal unit problem in travel demand models

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